audio

PyTorch core has download function and torch.hub.download_url_to_file.
Torchaudio can use it for dataset download and does not need to maintain its own torchaudio.datasets.utils.download_url.

In addition to that, there seems to be something wrong with torchaudio.datasets.utils.download_url.
It fails to download multiple of huge files. I think we should get rid of `torchaudio.datasets.ut

As someone looking to rerip 300+ audio cds, ripper looks like the right tool for the job. It strikes me that this is a good opportunity to re-evaluate exactly how I have my music collection tagged/sorted.

An area where I think there could be some improvement is around documenting exactly how whipper works in it's default configuration and why these options have been chosen. Specifically
-The d

Create a dataset that extends MixSrcFolder that only returns excerpt where a target source is salient.

This transform takes a fraction of the end or the start of the audio and treats that part as padding. We can implement several modes:

• constant (zero)
• wrap
• reflect